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Pediatric Critical Care in the Twenty-first Century and Beyond

Published:November 14, 2022DOI:https://doi.org/10.1016/j.ccc.2022.09.013

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      References

        • Todres I.D.
        Communication between physician, patient, and family in the pediatric intensive care unit.
        Crit Care Med. 1993; 21: S383-S386
        • Bagheri Lankarani K.
        • Ghahramani S.
        • Roozitalab M.
        • et al.
        What do hospital doctors and nurses think wastes their time?.
        SAGE Open Med. 2019; 7 (2050312118813680)
        • Cabrini L.
        • Landoni G.
        • Antonelli M.
        • et al.
        Critical care in the near future: patient-centered, beyond space and time boundaries.
        Minerva Anestesiol. 2016; 82: 599-604
        • Vegesna A.
        • Tran M.
        • Angelaccio M.
        • et al.
        Remote patient monitoring via non-invasive digital technologies: a systematic review.
        Telemed J E Health. 2017; 23: 3-17
        • Xu S.
        • Jayaraman A.
        • Rogers J.A.
        Skin sensors are the future of health care.
        Nature. 2019; 571: 319-321
        • Lee S.P.
        • Ha G.
        • Wright D.E.
        • et al.
        Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring.
        NPJ Digit Med. 2018; 1: 2
        • Tavakoli Golpaygani A.
        • Mehdizadeh A.R.
        Future of wearable health devices: smartwatches VS smart headphones.
        J Biomed Phys Eng. 2021; 11: 561-562
        • Heikenfeld J.
        • Jajack A.
        • Feldman B.
        • et al.
        Accessing analytes in biofluids for peripheral biochemical monitoring.
        Nat Biotechnol. 2019; 37: 407-419
        • Wu W.
        • Zhang Y.
        • Ding D.
        • et al.
        A high-performing direct carbon fuel cell with a 3D architectured anode Operated below 600 degrees C.
        Adv Mater. 2018; 30
        • Welsh C.
        • Rincon T.
        • Berman I.
        • et al.
        TeleICU interdisciplinary care teams.
        Crit Care Nurs Clin North Am. 2021; 33: 459-470
        • Dayal P.
        • Hojman N.M.
        • Kissee J.L.
        • et al.
        Impact of telemedicine on severity of illness and outcomes among children transferred from referring emergency departments to a children's hospital PICU.
        Pediatr Crit Care Med. 2016; 17: 516-521
        • Marshall C.R.
        • Bick D.
        • Belmont J.W.
        • et al.
        The Medical Genome Initiative: moving whole-genome sequencing for rare disease diagnosis to the clinic.
        Genome Med. 2020; 12: 48
        • Dahmer M.K.
        Whole genome sequencing as a first-line clinical test: almost ready for prime time.
        Crit Care Med. 2021; 49: 1815-1817
        • Australian Genomics Health Alliance Acute Care F.
        • Lunke S.
        • Eggers S.
        • et al.
        Feasibility of Ultra-rapid exome sequencing in critically ill infants and children with suspected Monogenic conditions in the Australian public health care system.
        JAMA. 2020; 323: 2503-2511
        • Aziz N.
        • Zhao Q.
        • Bry L.
        • et al.
        College of American Pathologists' laboratory standards for next-generation sequencing clinical tests.
        Arch Pathol Lab Med. 2015; 139: 481-493
        • Roy S.
        • Coldren C.
        • Karunamurthy A.
        • et al.
        Standards and Guidelines for validating next-generation sequencing Bioinformatics pipelines: a Joint recommendation of the association for molecular pathology and the college of American pathologists.
        J Mol Diagn. 2018; 20: 4-27
        • Willig L.K.
        • Petrikin J.E.
        • Smith L.D.
        • et al.
        Whole-genome sequencing for identification of Mendelian disorders in critically ill infants: a retrospective analysis of diagnostic and clinical findings.
        Lancet Respir Med. 2015; 3: 377-387
        • French C.E.
        • Delon I.
        • Dolling H.
        • et al.
        Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children.
        Intensive Care Med. 2019; 45: 627-636
        • Sanford E.F.
        • Clark M.M.
        • Farnaes L.
        • et al.
        Rapid whole genome sequencing has clinical utility in children in the PICU.
        Pediatr Crit Care Med. 2019; 20: 1007-1020
        • Wu B.
        • Kang W.
        • Wang Y.
        • et al.
        Application of full-spectrum rapid clinical genome sequencing improves diagnostic rate and clinical outcomes in critically ill infants in the China neonatal genomes project.
        Crit Care Med. 2021; 49: 1674-1683
        • Gubbels C.S.
        • VanNoy G.E.
        • Madden J.A.
        • et al.
        Prospective, phenotype-driven selection of critically ill neonates for rapid exome sequencing is associated with high diagnostic yield.
        Genet Med. 2020; 22: 736-744
        • Dimmock D.P.
        • Clark M.M.
        • Gaughran M.
        • et al.
        An RCT of rapid genomic sequencing among seriously ill infants results in high clinical utility, changes in management, and low perceived harm.
        Am J Hum Genet. 2020; 107: 942-952
        • Pendleton K.M.
        • Erb-Downward J.R.
        • Bao Y.
        • et al.
        Rapid pathogen identification in bacterial pneumonia using real-time Metagenomics.
        Am J Respir Crit Care Med. 2017; 196: 1610-1612
        • Wong H.R.
        Personalized medicine, endotypes, and intensive care medicine.
        Intensive Care Med. 2015; 41: 1138-1140
        • Iwashyna T.J.
        • Burke J.F.
        • Sussman J.B.
        • et al.
        Implications of heterogeneity of treatment effect for reporting and analysis of randomized trials in critical care.
        Am J Respir Crit Care Med. 2015; 192: 1045-1051
        • Seymour C.W.
        • Kennedy J.N.
        • Wang S.
        • et al.
        Derivation, validation, and potential treatment implications of novel clinical phenotypes for sepsis.
        JAMA. 2019; 321: 2003-2017
        • Prescott H.C.
        • Calfee C.S.
        • Thompson B.T.
        • et al.
        Toward smarter Lumping and smarter splitting: rethinking strategies for sepsis and acute respiratory distress syndrome clinical trial design.
        Am J Respir Crit Care Med. 2016; 194: 147-155
        • Stanski N.L.
        • Wong H.R.
        Prognostic and predictive enrichment in sepsis.
        Nat Rev Nephrol. 2020; 16: 20-31
        • Sanchez-Pinto L.N.
        • Stroup E.K.
        • Pendergrast T.
        • et al.
        Derivation and validation of novel phenotypes of multiple organ dysfunction syndrome in critically ill children.
        JAMA Netw Open. 2020; 3 (e209271)
        • Dahmer M.K.
        • Yang G.
        • Zhang M.
        • et al.
        Identification of phenotypes in paediatric patients with acute respiratory distress syndrome: a latent class analysis.
        Lancet Respir Med. 2022; 10: 289-297
        • Calfee C.S.
        • Delucchi K.
        • Parsons P.E.
        • et al.
        Subphenotypes in acute respiratory distress syndrome: latent class analysis of data from two randomised controlled trials.
        Lancet Respir Med. 2014; 2: 611-620
        • Famous K.R.
        • Delucchi K.
        • Ware L.B.
        • et al.
        Acute respiratory distress syndrome subphenotypes respond differently to randomized fluid management strategy.
        Am J Respir Crit Care Med. 2017; 195: 331-338
        • Carcillo J.A.
        • Berg R.A.
        • Wessel D.
        • et al.
        A multicenter Network assessment of three inflammation phenotypes in pediatric sepsis-induced multiple organ failure.
        Pediatr Crit Care Med. 2019; 20: 1137-1146
        • Wong H.R.
        • Salisbury S.
        • Xiao Q.
        • et al.
        The pediatric sepsis biomarker risk model.
        Crit Care. 2012; 16: R174
        • Wong H.R.
        • Cvijanovich N.
        • Lin R.
        • et al.
        Identification of pediatric septic shock subclasses based on genome-wide expression profiling.
        BMC Med. 2009; 7: 34 1
        • Wong H.R.
        • Cvijanovich N.Z.
        • Anas N.
        • et al.
        Developing a clinically feasible personalized medicine approach to pediatric septic shock.
        Am J Respir Crit Care Med. 2015; 191: 309-315
        • Zurca A.D.
        • Suttle M.L.
        • October T.W.
        An antiracism approach to conducting, reporting, and evaluating pediatric critical care research.
        Pediatr Crit Care Med. 2022; 23: 129-132
        • Wen M.
        • Cai G.
        • Ye J.
        • et al.
        Single-cell transcriptomics reveals the alteration of peripheral blood mononuclear cells driven by sepsis.
        Ann Transl Med. 2020; 8: 125
        • Jiang Y.
        • Rosborough B.R.
        • Chen J.
        • et al.
        Single cell RNA sequencing identifies an early monocyte gene signature in acute respiratory distress syndrome.
        JCI Insight. 2020; 5
        • Bernardes J.P.
        • Mishra N.
        • Tran F.
        • et al.
        Longitudinal multi-omics analyses identify responses of megakaryocytes, erythroid cells, and plasmablasts as hallmarks of severe COVID-19.
        Immunity. 2020; 53: 1296-12314 e9
        • Wu P.
        • Chen D.
        • Ding W.
        • et al.
        The trans-omics landscape of COVID-19.
        Nat Commun. 2021; 12: 4543
        • Grunwell J.R.
        • Rad M.G.
        • Stephenson S.T.
        • et al.
        Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure.
        Sci Rep. 2021; 1123019
        • Yehya N.
        • Fazelinia H.
        • Lawrence G.G.
        • et al.
        Plasma Nucleosomes are associated with mortality in pediatric acute respiratory distress syndrome.
        Crit Care Med. 2021; 49: 1149-1158
        • Yehya N.
        • Fazelinia H.
        • Taylor D.M.
        • et al.
        Differentiating children with sepsis with and without acute respiratory distress syndrome using proteomics.
        Am J Physiol Lung Cell Mol Physiol. 2022; 322: L365-L372
        • Feinstein Y.
        • Walker J.C.
        • Peters M.J.
        • et al.
        Cohort profile of the Biomarkers of Acute Serious Illness in Children (BASIC) study: a prospective multicentre cohort study in critically ill children.
        BMJ Open. 2018; 8 (e024729)
        • Joshi R.
        • Kommers D.
        • Oosterwijk L.
        • et al.
        Predicting neonatal sepsis using features of heart rate variability, respiratory characteristics, and ECG-derived Estimates of infant motion.
        IEEE J Biomed Health Inform. 2020; 24: 681-692
        • Institute of Medicine
        The learning healthcare system: Workshop summary.
        National Academies Press, Washington, DC2007
        • Bakken S.
        Progress toward a science of learning systems for healthcare.
        J Am Med Inform Assoc. 2021; 28: 1063-1064
        • Barr J.
        • Paulson S.S.
        • Kamdar B.
        • et al.
        The coming of age of implementation science and research in critical care medicine.
        Crit Care Med. 2021; 49: 1254-1275
        • Angus D.C.
        • Berry S.
        • Lewis R.J.
        • et al.
        The REMAP-CAP (randomized embedded multifactorial adaptive platform for community-acquired pneumonia) study. Rationale and design.
        Ann Am Thorac Soc. 2020; 17: 879-891
        • Noor N.M.
        • Pett S.L.
        • Esmail H.
        • et al.
        Adaptive platform trials using multi-arm, multi-stage protocols: getting fast answers in pandemic settings.
        F1000Res. 2020; 9: 1109
        • Investigators R.-C.
        • Gordon A.C.
        • Mouncey P.R.
        • et al.
        Interleukin-6 receptor antagonists in critically ill patients with covid-19.
        N Engl J Med. 2021; 384: 1491-1502
        • Angus D.C.
        • Derde L.
        • Al-Beidh F.
        • et al.
        Effect of hydrocortisone on mortality and organ support in patients with severe COVID-19: the REMAP-CAP COVID-19 corticosteroid domain randomized clinical trial.
        JAMA. 2020; 324: 1317-1329
        • Remap-Cap Writing Committee for the REMAP-CAP Investigators
        • Bradbury C.A.
        • Lawler P.R.
        • et al.
        Effect of antiplatelet therapy on survival and organ support-free days in critically ill patients with COVID-19: a randomized clinical trial.
        JAMA. 2022; 327: 1247-1259
        • The REMAP-CAP, ACTIV-4a, and ATTACC Investigators
        Therapeutic anticoagulation with heparin in critically ill patients with covid-19.
        N Engl J Med. 2021; 385: 777-789
        • Morris A.H.
        • Stagg B.
        • Lanspa M.
        • et al.
        Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.
        J Am Med Inform Assoc. 2021; 28: 1330-1344
        • Barnes-Daly M.A.
        • Phillips G.
        • Ely E.W.
        Improving hospital survival and reducing brain dysfunction at seven California community hospitals: implementing PAD Guidelines via the ABCDEF bundle in 6,064 patients.
        Crit Care Med. 2017; 45: 171-178
        • Pun B.T.
        • Balas M.C.
        • Barnes-Daly M.A.
        • et al.
        Caring for critically ill patients with the ABCDEF bundle: results of the ICU liberation collaborative in over 15,000 adults.
        Crit Care Med. 2019; 47: 3-14
        • Geva A.
        • Albert B.D.
        • Hamilton S.
        • et al.
        eSIMPLER: a dynamic, electronic health record-integrated checklist for clinical decision support during PICU daily rounds.
        Pediatr Crit Care Med. 2021; 22: 898-905
        • Halpern S.D.
        • Becker D.
        • Curtis J.R.
        • et al.
        The choosing Wisely(R) top 5 list in critical care medicine.
        Am J Respir Crit Care Med. 2014; 190: 818-826
        • Zimmerman J.J.
        • Harmon L.A.
        • Smithburger P.L.
        • et al.
        Choosing Wisely for critical care: the next five.
        Crit Care Med. 2021; 49: 472-481
        • Suttle M.
        • Hall M.W.
        • Pollack M.M.
        • et al.
        Therapeutic alliance between Bereaved parents and physicians in the PICU.
        Pediatr Crit Care Med. 2021; 22: e243-e252
        • Metzl J.M.
        • Hansen H.
        Structural competency: theorizing a new medical engagement with stigma and inequality.
        Soc Sci Med. 2014; 103: 126-133
        • Fryer-Edwards K.
        • Arnold R.M.
        • Baile W.
        • et al.
        Reflective teaching practices: an approach to teaching communication skills in a small-group setting.
        Acad Med. 2006; 81: 638-644
        • Meert K.L.
        • Eggly S.
        • Pollack M.
        • et al.
        Parents' perspectives on physician-parent communication near the time of a child's death in the pediatric intensive care unit.
        Pediatr Crit Care Med. 2008; 9: 2-7
        • October T.W.
        • Dizon Z.B.
        • Hamilton M.F.
        • et al.
        Communication training for inter-specialty clinicians.
        Clin Teach. 2019; 16: 242-247
        • Michalsen A.
        • Long A.C.
        • DeKeyser Ganz F.
        • et al.
        Interprofessional shared decision-making in the ICU: a systematic review and recommendations from an expert panel.
        Crit Care Med. 2019; 47: 1258-1266
        • Hickey P.A.
        • Gauvreau K.
        • Porter C.
        • et al.
        The impact of critical care nursing certification on pediatric patient outcomes.
        Pediatr Crit Care Med. 2018; 19: 718-724
        • Restauri N.
        • Sheridan A.D.
        Burnout and posttraumatic stress disorder in the coronavirus disease 2019 (COVID-19) pandemic: intersection, impact, and interventions.
        J Am Coll Radiol. 2020; 17: 921-926
      1. National academy of medicine. National plan for health workforce well being.
        • Rabow M.W.
        • Huang C.S.
        • White-Hammond G.E.
        • et al.
        Witnesses and victims both: healthcare workers and grief in the time of COVID-19.
        J Pain Symptom Manage. 2021; 62: 647-656
        • Haupt A.
        What burnout really means, and what bosses and employees can do about it.
        15. Washington Post, Washington, DC2021: 2021
        • Hysong S.J.
        • Best R.G.
        • Pugh J.A.
        Audit and feedback and clinical practice guideline adherence: making feedback actionable.
        Implement Sci. 2006; 1: 9
        • Sanchez-Pinto L.N.
        • Luo Y.
        • Churpek M.M.
        Big data and data science in critical care.
        Chest. 2018; 154: 1239-1248
        • Bennett T.D.
        • Russell S.
        • Albers D.J.
        Neural Networks for mortality prediction: ready for prime time?.
        Pediatr Crit Care Med. 2021; 22: 578-581
        • Brant E.B.
        • Kennedy J.N.
        • King A.J.
        • et al.
        Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR.
        NPJ Digit Med. 2022; 5: 44
        • Sanchez-Pinto L.N.
        • Dziorny A.C.
        From bedside to Bytes and back: data quality and standardization for research, quality improvement, and clinical decision support in the Era of electronic health records.
        Pediatr Crit Care Med. 2020; 21: 780-781
        • Kamaleswaran R.
        • Akbilgic O.
        • Hallman M.A.
        • et al.
        Applying artificial intelligence to identify physiomarkers predicting severe sepsis in the PICU.
        Pediatr Crit Care Med. 2018; 19: e495-e503
        • Badke C.M.
        • Marsillio L.E.
        • Carroll M.S.
        • et al.
        Development of a heart rate variability risk score to predict organ dysfunction and death in critically ill children.
        Pediatr Crit Care Med. 2021; 22: e437-e447
        • Mayampurath A.
        • Volchenboum S.L.
        • Sanchez-Pinto L.N.
        Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients.
        NPJ Digit Med. 2018; 1: 29
        • Badke C.M.
        • Swigart L.
        • Carroll M.S.
        • et al.
        Autonomic Nervous system dysfunction is associated with Re-hospitalization in pediatric septic shock survivors.
        Front Pediatr. 2021; 9745844
        • Shortliffe E.H.
        • Sepulveda M.J.
        Clinical decision support in the Era of artificial intelligence.
        JAMA. 2018; 320: 2199-2200
        • Sanchez-Pinto L.N.
        • Bennett T.D.
        Evaluation of machine learning models for clinical prediction problems.
        Pediatr Crit Care Med. 2022; 23: 405-408
        • Meissen H.
        • Gong M.N.
        • Wong A.I.
        • et al.
        The future of critical care: Optimizing technologies and a learning healthcare system to potentiate a more humanistic approach to critical care.
        Crit Care Explor. 2022; 4: e0659
        • Poncette A.S.
        • Mosch L.
        • Spies C.
        • et al.
        Improvements in patient monitoring in the intensive care Unit: survey study.
        J Med Internet Res. 2020; 22: e19091
        • Seymour C.W.
        • Gomez H.
        • Chang C.H.
        • et al.
        Precision medicine for all? Challenges and opportunities for a precision medicine approach to critical illness.
        Crit Care. 2017; 21: 257
        • Mittal R.
        • Coopersmith C.M.
        Redefining the gut as the motor of critical illness.
        Trends Mol Med. 2014; 20: 214-223
        • Langelier C.
        • Kalantar K.L.
        • Moazed F.
        • et al.
        Integrating host response and unbiased microbe detection for lower respiratory tract infection diagnosis in critically ill adults.
        Proc Natl Acad Sci U S A. 2018; 115: E12353-E12362
        • Zinter M.S.
        • Dvorak C.C.
        • Mayday M.Y.
        • et al.
        Pulmonary metagenomic sequencing suggests Missed infections in immunocompromised children.
        Clin Infect Dis. 2019; 68: 1847-1855
        • Martin-Loeches I.
        • Dickson R.
        • Torres A.
        • et al.
        The importance of airway and lung microbiome in the critically ill.
        Crit Care. 2020; 24: 537
        • Petersen C.
        • Round J.L.
        Defining dysbiosis and its influence on host immunity and disease.
        Cell Microbiol. 2014; 16: 1024-1033
        • Kissoon N.
        Bench-to-bedside review: humanism in pediatric critical care medicine - a leadership challenge.
        Crit Care. 2005; 9: 371-375
        • Traube C.
        • Silver G.
        • Reeder R.W.
        • et al.
        Delirium in critically ill children: an international point prevalence study.
        Crit Care Med. 2017; 45: 584-590
        • Patel S.B.
        • Poston J.T.
        • Pohlman A.
        • et al.
        Rapidly reversible, sedation-related delirium versus persistent delirium in the intensive care unit.
        Am J Respir Crit Care Med. 2014; 189: 658-665
        • Inouye S.K.
        • Bogardus Jr., S.T.
        • Charpentier P.A.
        • et al.
        A multicomponent intervention to prevent delirium in hospitalized older patients.
        N Engl J Med. 1999; 340: 669-676
        • Simone S.
        • Edwards S.
        • Lardieri A.
        • et al.
        Implementation of an ICU bundle: an interprofessional quality improvement project to enhance delirium management and monitor delirium prevalence in a single PICU.
        Pediatr Crit Care Med. 2017; 18: 531-540
        • Smith H.A.B.
        • Besunder J.B.
        • Betters K.A.
        • et al.
        2022 society of critical care medicine clinical practice Guidelines on prevention and management of pain, agitation, Neuromuscular Blockade, and delirium in critically ill pediatric patients with consideration of the ICU environment and early Mobility.
        Pediatr Crit Care Med. 2022; 23: e74-e110
        • Aronson P.L.
        • Yau J.
        • Helfaer M.A.
        • et al.
        Impact of family presence during pediatric intensive care unit rounds on the family and medical team.
        Pediatrics. 2009; 124: 1119-1125
        • Chang I.C.
        • Hou Y.H.
        • Lu L.J.
        • et al.
        Self-service system for the family members of ICU patients: a pilot study.
        Healthcare (Basel). 2022; 10
        • Rose L.
        • Yu L.
        • Casey J.
        • et al.
        Communication and virtual visiting for families of patients in intensive care during the COVID-19 pandemic: a UK national survey.
        Ann Am Thorac Soc. 2021; 18: 1685-1692
        • Sundberg F.
        • Fridh I.
        • Lindahl B.
        • et al.
        Visitor's experiences of an evidence-based designed healthcare environment in an intensive care Unit.
        HERD. 2021; 14: 178-191
        • Verderber S.
        • Gray S.
        • Suresh-Kumar S.
        • et al.
        Intensive care Unit Built environments: a comprehensive Literature review (2005-2020).
        HERD. 2021; 14: 368-415
        • Flores G.
        • Rabke-Verani J.
        • Pine W.
        • et al.
        The importance of cultural and linguistic issues in the emergency care of children.
        Pediatr Emerg Care. 2002; 18: 271-284
      2. United States census Bureaqu. Population projections of the United States by age, sex, race, and hispanic Origin: 1995-2050. 1995 (revised 2021).
        • Regenstein M.
        • Huang J.
        • West C.
        • et al.
        Hospital language services: quality improvement and performance Measures.
        Agency for Healthcare Research and Quality, Rockville (MD)2008
        • Greene-Moton E.
        • Minkler M.
        Cultural competence or cultural humility? Moving beyond the debate.
        Health Promot Pract. 2020; 21: 142-145
        • Brilli R.J.
        • Spevetz A.
        • Branson R.D.
        • et al.
        • for the American College of Critical Care Medicine Task Force on Models of Critical Care Delivery
        Critical care delivery in the intensive care unit: defining clinical roles and the best practice model.
        Crit Care Med. 2001; 29: 2007-2019
        • Bourgault A.M.
        The nursing shortage and work expectations are in critical condition: is anyone listening?.
        Crit Care Nurse. 2022; 42: 8-11
        • Vera San Juan N.
        • Clark S.E.
        • Camilleri M.
        • et al.
        Training and redeployment of healthcare workers to intensive care units (ICUs) during the COVID-19 pandemic: a systematic review.
        BMJ Open. 2022; 12: e050038
        • Halpern N.A.
        • Pastores S.M.
        • Oropello J.M.
        • et al.
        Critical care medicine in the United States: addressing the intensivist shortage and image of the specialty.
        Crit Care Med. 2013; 41: 2754-2761
      3. Association of. American medical colleges. The complexities of physician supply and demand: projections from 2018 to 2033. 2020.
        • Lustbader D.
        • Fein A.
        Emerging trends in ICU management and staffing.
        Crit Care Clin. 2000; 16: 735-748
        • Carr F.M.
        The role of sitters in delirium: an update.
        Can Geriatr J. 2013; 16: 22-36
        • Greeley A.M.
        • Tanner E.P.
        • Mak S.
        • et al.
        Sitters as a patient safety strategy to reduce hospital falls: a systematic review.
        Ann Intern Med. 2020; 172: 317-324
        • Carra G.
        • Salluh J.I.F.
        • da Silva Ramos F.J.
        • et al.
        Data-driven ICU management: using Big Data and algorithms to improve outcomes.
        J Crit Care. 2020; 60: 300-304
        • Arabi Y.M.
        • Azoulay E.
        • Al-Dorzi H.M.
        • et al.
        How the COVID-19 pandemic will change the future of critical care.
        Intensive Care Med. 2021; 47: 282-291
        • Pollack M.M.
        • Banks R.
        • Holubkov R.
        • et al.
        And the Eunice Kennedy shriver national institute of child H, human development collaborative pediatric critical care research N. Long-term outcome of PICU patients discharged with new, functional status morbidity.
        Pediatr Crit Care Med. 2021; 22: 27-39
        • Fink E.L.
        • Maddux A.B.
        • Pinto N.
        • et al.
        A core outcome set for pediatric critical care.
        Crit Care Med. 2020; 48: 1819-1828
        • Killien E.Y.
        • Farris R.W.D.
        • Watson R.S.
        • et al.
        Health-related quality of life among survivors of pediatric sepsis.
        Pediatr Crit Care Med. 2019; 20: 501-509
        • Maddux A.B.
        • Pinto N.
        • Fink E.L.
        • et al.
        Postdischarge outcome domains in pediatric critical care and the instruments used to evaluate them: a scoping review.
        Crit Care Med. 2020; 48: e1313-e1321
        • Zimmerman J.J.
        • Banks R.
        • Berg R.A.
        • et al.
        Trajectory of mortality and health-related quality of life morbidity following community-acquired pediatric septic shock.
        Crit Care Med. 2020; 48: 329-337
        • Ducharme-Crevier L.
        • La K.A.
        • Francois T.
        • et al.
        PICU follow-up clinic: patient and family outcomes 2 Months after discharge.
        Pediatr Crit Care Med. 2021; 22: 935-943
        • Ely W.
        Every Deep-drawn Breath.
        Scribner, New York2021
        • Ko M.S.M.
        • Poh P.F.
        • Heng K.Y.C.
        • et al.
        Assessment of long-term psychological outcomes after pediatric intensive care Unit admission: a systematic review and Meta-analysis.
        JAMA Pediatr. 2022; 176: e215767
        • Christie H.
        • Hamilton-Giachritsis C.
        • Alves-Costa F.
        • et al.
        The impact of parental posttraumatic stress disorder on parenting: a systematic review.
        Eur J Psychotraumatol. 2019; 10: 1550345
        • McGowan S.K.
        • Sarigiannis K.A.
        • Fox S.C.
        • et al.
        Racial disparities in ICU outcomes: a systematic review.
        Crit Care Med. 2022; 50: 1-20
        • Sample M.
        • Acharya A.
        • O'Hearn K.
        • et al.
        The relationship between remoteness and outcomes in critically ill children.
        Pediatr Crit Care Med. 2017; 18: e514-e520
        • Cooke C.R.
        • Kahn J.M.
        Deconstructing racial and ethnic disparities in critical care.
        Crit Care Med. 2010; 38: 978-980
        • Mayr F.B.
        • Yende S.
        • D'Angelo G.
        • et al.
        Do hospitals provide lower quality of care to black patients for pneumonia?.
        Crit Care Med. 2010; 38: 759-765